Sigma Software is looking for a Machine Learning Engineer to lead the development of advanced AI solutions for mission-critical financial platforms. You'll work on global-scale projects and influence strategic AI initiatives.

What You'll Do

Lead the end-to-end design, development, and deployment of advanced machine learning models for production environments.
Build and maintain robust data processing pipelines for training, evaluation, and inference.
Collaborate closely with data scientists, software engineers, and product managers to define ML requirements and deliver impactful solutions.
Optimize models for performance, accuracy, and efficiency through iterative experimentation and tuning.
Integrate ML solutions seamlessly into existing applications and services.
Implement best practices in ML engineering, including reproducibility, version control, and monitoring.
Stay informed about emerging ML/AI technologies and assess their potential for integration.
Mentor junior engineers to strengthen the team’s technical capabilities.
Contribute to architectural planning and strategic decision-making for AI/ML initiatives.

What We're Looking For

5+ years of experience in machine learning engineering or applied AI.
Strong proficiency in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Proven track record of building, deploying, and optimizing ML models in production environments.
Strong understanding of data processing workflows and software engineering best practices.
Strong knowledge of SQL database systems.
Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
Excellent problem-solving, communication, and collaboration skills.
Upper-Intermediate level of spoken and written English.